Under the traditional video coding schemes, some successful attempts [1]}, [2]}, [3]}, [4]}, [5]}, [6]}, [7]} for learned video compression replace each module with a learning-based one.
Specially, the recursive block-based motion prediction is replaced by optical flow with warping operation to generate predictive frames, and the modules to compress residual errors and motion vector are replaced by two auto-encoders styled compression networks.
To further exploit the temporal redundancy, multi-frame prediction [3]}, [4]}, [5]} and implicit optical flow methods [6]}, [7]} are proposed to improve the performance of motion prediction.
